CSP - Workshop Computational Neuroscience: New Trends and Challenges for 2030,
Abstract
Workshop Computational Neuroscience: New Trends andChallenges for 2030.AbstractThe brain is one of the most complex organs and still a big challenge to understand how it works. We know a lot on their building blocks: proteins, neurons, synapsis, networks, areas, cognitive and behavior functionalities from a diversity of experimental and theoretical approaches. Today, both in the US and Europe we are challenged by two mega Brain funding programs to forward the search for common ground in the interdisciplinary brain science area. Additionally, the advent of new powerful technologies for massive recordings (e.g originated from a variety of techniques, e.g., fMRI, EEG, Multi-electrodes array, Voltage Sensitive Dyes, Optogenetics) confronts researches with the question: How to deal with huge time series of data? In brief, the Big Data challenge. Furthermore, scientists have contributed with new algorithms to integrate data time series, obtained from field or action potentials captured from the nervous system (e.g. brain, retina, with the aim to correlate neural activation with motor actions and cognitive capabilities. The challenge for the future, and in the topic of the present Workshop, will be to integrate different sources of data into a common framework to approach the neural bases of behavior. The aim of the present workshop is to bring specialist in the field of computational neuroscience to present results and discuss challenges in this interdisciplinary field: Can a common framework be a benefit to promote the advances in biology and bio-inspired computation? The workshop will include faculties, students and researchers~ participant from different countries and regions. The intended outcomes of the workshop will touch several areas of ONRG interest. First, it involves the general field of Computational Neuroscience including: i) Neural Computation; ii) Cognitive Science and Learning; iii) Biorobotics. More precisely, in the field of artificial intelligence we will approach machine learning unsupervised algorithms, based in agents, to approach natural learning and reasoning in humans (Alexandre, Muller, Destexhe, Sharpee). Another field of interest in the workshop is, covered by talks and round table on biorobotics, to illustrate progress in the development of autonomous robot~s devices inspired by biology, including sensory,motor and cognitive natural abilities (Cessac, El-Dereby, Escobar, Zanartu).
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Jan 04, 2017
- Source ID
- N629091712031
Entities
People
- Adrian G Palacios
Organizations
- Office of Naval Research
- United States Navy